Metadata-Version: 2.1
Name: pdal-plugins
Version: 1.2.0
Summary: Point cloud data processing Python plugins
Home-page: https://pdal.io
Author: Howard Butler
Author-email: howard@hobu.co
Maintainer: Howard Butler
Maintainer-email: howard@hobu.co
License: BSD
Keywords: point cloud spatial
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: GIS
Description-Content-Type: text/x-rst
License-File: LICENSE

================================================================================
PDAL Python Plugins
================================================================================

PDAL Python plugins allow you to process data with PDAL into
`Numpy <http://www.numpy.org/>`__ arrays.
They support embedding Python in PDAL pipelines with the
`readers.numpy <https://pdal.io/stages/readers.numpy.html>`__ and
`filters.python <https://pdal.io/stages/filters.python.html>`__ stages.

Installation
--------------------------------------------------------------------------------

PyPI
................................................................................

PDAL Python plugins are installable via PyPI:

.. code-block::

    pip install pdal-plugins

GitHub
................................................................................

The repository for PDAL's Python plugins is available at https://github.com/PDAL/python-plugins

.. image:: https://github.com/PDAL/python-plugins/workflows/Build/badge.svg
   :target: https://github.com/PDAL/python-plugins/actions?query=workflow%3ABuild

Requirements
================================================================================

* PDAL 2.4+
* Python >=3.7
* Numpy (eg :code:`pip install numpy`)
* scikit-build (eg :code:`pip install scikit-build`)